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Hybrid EID algorithm for PCD/EID-CT Systems

机译:PCD / EID-CT系统的混合EID算法

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One of the major obstacles toward photon counting detector (PCD)-based clinical x-ray CT systems is the large count rates, because when operated under too intense x-rays, pulse pileup effects (PPEs) due to coincident photons distort the spectrum recorded by PCDs. In this paper we discuss a strategy using a hybrid detector, which consists of PCDs for the central part of the detector [which corresponds to a central small field-of-view (FOV) of the object] and energy integrating detectors (EIDs) for the peripheral part, to achieve the following three goals: 1) to minimize the PPEs; 2) to produce accurate spectral images for the small FOV; and 3) to provide conventional CT images for the entire FOV. The third goal requires a solution to exterior problem, because the central part of EID data is missing. The spectral data obtained by PCDs carry richer information than the intensity data obtained by EIDs; however, performing a simple weighted summation of counts from multi-energy windows of PCD would not produce realistic EID data, as the spectrum recorded by PCD could be skewed by spectral response effects (SREs) and PPEs. We propose a unique approach for the hybrid PCD/EID-CT system in this paper.
机译:基于光子计数检测器(PCD)的临床X射线CT系统的主要障碍之一是计数率高,因为在太强的X射线下操作时,由于重合的光子而导致的脉冲堆积效应(PPE)会使记录的光谱失真。通过PCD。在本文中,我们讨论了一种使用混合探测器的策略,该探测器由用于探测器中心部分的PCD(对应于对象的中央小视场(FOV))和用于探测器的能量积分探测器(EID)组成。外围部分,要实现以下三个目标:1)最小化PPE; 2)为小视场产生准确的光谱图像;和3)提供整个FOV的常规CT图像。第三个目标需要解决外部问题,因为EID数据的中心部分丢失了。 PCD获得的光谱数据比EID获得的强度数据携带更丰富的信息。但是,对PCD的多能量窗口中的计数进行简单的加权求和不会产生实际的EID数据,因为PCD记录的光谱可能会受到光谱响应效应(SRE)和PPE的影响。在本文中,我们为混合PCD / EID-CT系统提出了一种独特的方法。

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